Analysis of Low-Density Heat Flux Data by the Wavelet Method

Hotra, O.; Kovtun, Svitlana; Dekusha, Oleg; Grądz, Żaklin; Babak, Vitalii; Styczeń, Joanna

doi:10.3390/en16010430

Cited by 3 publications

(2 citation statements)

References 38 publications

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“…In publications [1,2], the peculiarities of using information and control technologies and control systems to reduce useless heat losses in buildings and construction structures are investigated. To increase the energy efficiency of buildings, measurements of the thermal resistance of external enclosing structures were carried out [3]. Using the correctness conditions of boundary value problems with systems of differential equations in partial derivatives, full controllability conditions for systems with distributed parameters were obtained in publications [4,5].…”

Section: Analysis Of the Latest Researchmentioning

confidence: 99%

Application of Calculation Methods for Solving Applied Problems of Heat and Mass Exchange in Complex Systems

Levkin¹

2023

ВОТТП

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The accuracy of the calculation and optimization of the objective function and its parameters when solving applied engineering problems depends on the accuracy of the formulation of the main optimization problem, calculation and applied optimization problems, as well as the accuracy of computational methods for their implementation. An increase in the considered features of applied optimization problems will complicate the setting and methods of implementing boundary value problems. Thus, for the implementation of modernized boundary value problems, it will be necessary to apply several computational methods that will create a computational structure. The main condition for constructing a physically based boundary value problem is to find and justify the conditions for the existence of a unique solution. To increase the efficiency of the use of methods of calculation and optimization of technical parameters, it is necessary to increase the number of considered features of calculation and applied optimization mathematical models for heat and mass transfer in technical systems. Along with the construction of boundary value problems, it is important to define and justify the conditions for the existence of a single solution. The research article deals with some aspects of solving applied problems of heat and mass transfer in technical systems. Nonlocal boundary value problems for inhomogeneous and homogeneous pseudodifferential equations in partial derivatives with integral boundary conditions are considered, methods of solving a nonlocal inhomogeneous boundary value problem are proposed, and the correctness conditions of this problem in the class of infinitely differentiable generalized functions of power growth are defined and proven. Proved conditions for the existence of a correct problem for pseudo-differential equations with an integral boundary condition. The research of this article should be applied for controlling possible risks when solving applied problems in technical systems, biotechnology and veterinary medicine.

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Section: Analysis Of the Latest Researchmentioning

confidence: 99%

Application of Calculation Methods for Solving Applied Problems of Heat and Mass Exchange in Complex Systems

Levkin¹

2023

ВОТТП

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“…Despite the many advantages of combustion monitoring systems and the acquisition of detailed information from the flame, there is a need for further processing of measurement results. Measurement data processing is a significant research problem [41,42]. Therefore, many methods are used in the diagnosis, monitoring, and control of the combustion process, among which can be highlighted the Fourier transform [43], wavelet analysis [44], or recurrent neural networks [45][46][47][48][49][50].…”

Section: Introductionmentioning

confidence: 99%

Application of Fuzzy Neural Networks in Combustion Process Diagnostics

Grądz,

Wójcik,

Gromaszek

et al. 2023

Energies

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Coal remains one of the key raw materials used in the energy industry to generate electricity and heat. As a result, diagnostics of the combustion process is still an important topic of scientific research. Correct implementation of the process allows the emission of pollutants into the atmosphere to be kept at a compliant level. Therefore, it is important to conduct the process in a manner that will not exceed these standards. A preliminary analysis of the measurement signals was carried out, and signal predictions of flame intensity changes were determined using the autoregressive moving average (ARMA) model. Different fuzzy neural network architectures have been investigated. Binary and multi-class classifications of flame states were conducted. The best results were obtained from the ANFIS_grid partition model, producing an accuracy of 95.46% for binary classification and 79.08% for multi-class classification. The accuracy of the recognition of flame states and the high convergence of the determined predictions with measurement signals validate the application of the proposed approach in diagnosing or controlling the combustion process of pulverized coal and its mixtures with biomass. Expert decisions determine the range of acceptable states.

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Technology of Quality Control of Additive Manufacturing Products During Printing of Elements of Energy Complexes

Romanenko,

Kovtun

2024

Sist. dosl. energ. (Online)

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Additive manufacturing significantly impacts the energy sector through its ability to form complex geometries and optimize designs, enhancing the performance and reliability of energy systems and complexes. This type of manufacturing allows the creation of optimized parts considering energy efficiency and durability requirements, for example, heat exchangers can be designed and manufactured with a unique structure to improve their efficiency, and new energy devices and systems can be quickly prototyped for testing and optimization before mass production. The use of additive manufacturing can make parts production for energy complexes more localized and flexible, which is particularly beneficial when creating small and medium-sized energy systems. The paper discusses technologies for quality control of additive manufacturing products in the process of printing elements of energy complexes. Describes the state-of-the-art methods and controls used to ensure the high quality of 3D printed parts required for efficient operation of energy systems. Various aspects of inspection are covered, including printing process monitoring, flaw detection, material structure analysis, and geometric inspection. Examples are given of the use of various quality control methods in the context of the production of elements for energy complexes, making the article relevant for specialists in the field of additive manufacturing and energy. An analysis of existing printing technologies was carried out, and the advantages and disadvantages of each technology that is used in the process of serial production of additive manufacturing products for elements of power plants and complexes were highlighted. Keywords: technologies ofadditive manufacturing, additive manufacturing quality control software,artificial intelligence, energy complexes.

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Analysis of Low-Density Heat Flux Data by the Wavelet Method

Cited by 3 publications

References 38 publications

Application of Calculation Methods for Solving Applied Problems of Heat and Mass Exchange in Complex Systems

Application of Calculation Methods for Solving Applied Problems of Heat and Mass Exchange in Complex Systems

Application of Fuzzy Neural Networks in Combustion Process Diagnostics

Technology of Quality Control of Additive Manufacturing Products During Printing of Elements of Energy Complexes

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